Job Description

We are Startup Bakery, an Italian startup studio that builds B2B SaaS companies from scratch.

We design and develop products that combine a simple and intuitive user experience, data-driven processes, and Artificial Intelligence, following a lean approach and focusing on solutions that generate real value and a positive impact on people and the planet 🌎.

How we work

πŸ’‘ Trust & initiative – take ownership, experiment, and don’t be afraid of making mistakes.

🌱 Work-life balance – results matter, not working hours.

🏑 Flexibility – work remotely or join us at our Milan HQ whenever collaboration (and fun!) is needed.


We are looking for an experienced Data Engineer with strong technical leadership skills and hands-on experience in data infrastructure projects to collaborate on an innovative project developed by Startup Bakery.


Key responsibilities

  • Design and oversee end-to-end data architecture (ingestion, transformation, storage, consumption) on cloud platforms (e.g. AWS, GCP, Azure).
  • Coordinate and develop scalable and reliable data pipelines collecting data from IoT devices and other sources.
  • Collaborate closely with Data Scientists and Machine Learning Engineers to ensure predictive models and analytics are efficient, production-ready, and reproducible.
  • Ensure data quality, governance, and security, including the definition of standards and best practices.
  • Contribute to the design of dashboards and reporting systems to provide actionable insights for agronomists and internal teams.
  • Monitor data system performance, handle troubleshooting, and drive continuous optimization.

Must-have

  • Degree in Computer Science, Engineering, Mathematics, or a related field.
  • 4+ years of experience in Data Engineering roles (ETL/ELT, pipelines, data warehousing).
  • Strong proficiency in data programming languages: Python and SQL (other languages are a plus).
  • Experience with Elasticsearch.
  • Familiarity with data modeling concepts, APIs, and IoT integrations.
  • Ability to work independently and coordinate small development teams.

Nice-to-have

  • Basic knowledge of MLOps and advanced analytics tools.
  • Experience working in startups or fast-paced, scalable environments.

  • Part-time freelance collaboration
  • Remote-first, with optional access to our Milan office

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